Kentik

JUNE 6, 2023

APIs are complex, particularly if you run lots of microservices. We’ll go over how to glean metrics and enable reporting and alerts, as well as what you need to look for in a monitoring tool in general. You can monitor their status and collect metrics like response time and resource consumption, just to name a few.

Metrics 52

Metrics Testing Policies Linux 52

Netflix Tech

MAY 21, 2019

Solution We built a system called Lerner that consists of a set of microservices and a python library that allows scalable agent training and inference for test case scheduling. We wanted the to tool be available as a standalone library as well as scalable API service. which allows fast deployment times and rapid scalability.

Testing 65

Testing Training Continuous Integration AWS 65

O'Reilly Media - Ideas

APRIL 3, 2019

60 Minutes to Better Product Metrics , May 9. Beginner’s Guide to Writing AWS Lambda Functions in Python , May 7. Scalable Concurrency with the Java Executor Framework , May 30. AWS Certified Developer Associate Crash Course , May 1-2. AWS Certified Solutions Architect Associate Crash Course , May 6-7.

Course 48

Course Artificial Inteligence Training Google Cloud 48

Kentik

OCTOBER 12, 2021

When companies started outsourcing the hosting of their websites to the likes of Akamai and AWS, network teams learned quickly that many work- and non-work related applications shared the same IP address. Increased HTTPS traffic made it difficult for routers to provide insights beyond traditional NetFlow v5 metrics.

WAN 84

WAN Technical Review Network Internet 84

d2iq

FEBRUARY 19, 2021

Machine learning engineers are typically responsible for ML models in production environments, dealing with web services, latency, scalability, and handling most of the automation around ML. Unit and integration tests are pretty standard for data pipelines and microservices. Kubernetes (K8s) is an obvious choice.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

AWS Machine Learning - AI

FEBRUARY 1, 2024

Consider the following picture, which is an AWS view of the a16z emerging application stack for large language models (LLMs). This includes native AWS services like Amazon OpenSearch Service and Amazon Aurora. Scalability – How many vectors can the system hold? Is your vector database highly available in a single AWS Region?

Generative AI 108

Generative AI Disaster Recovery Artificial Inteligence AWS 108

Modus Create

APRIL 27, 2020

Some of the business goals were impossible to meet until we migrated some of the APIs to microservices. Good examples are AWS Lambda or Cloudflare Workers. Consider managing performance metrics via open-source budgeting tools like Modus Gimbal. Invest in Open Source. Bring in the tests. Ensure access to customer feedback.

Technical Review 84

Technical Review Software Review Quality Assurance Systems Review 84

Perficient

JULY 20, 2023

It offers unparalleled scalability, flexibility, and cost-effectiveness. It is highly recommended to perform structured load tests to find the metrics and settings that are specific to your system and identify the proper data points to use for configuring autoscaling rules and/or schedules.

Cloud 52

Cloud Strategy Weak Development Team Load Balancer 52

O'Reilly Media - Ideas

MARCH 1, 2023

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. The first quantum computers are now available through cloud providers like IBM and Amazon Web Services (AWS).

Trends 136

Trends Technical Review Technology Software Review 136

Perficient

MARCH 13, 2023

Openshift Monitoring manages the collection and visualization of internal metrics like resource utilization, which can be leveraged to create alerts and used as the source of data for autoscaling. A less-know feature is the ability to leverage Cluster Monitoring to collect your own application metrics.

Serverless 83

Serverless Azure Metrics AWS 83

Xicom

MARCH 16, 2021

Nowadays, the cliche “serverless architecture” is the latest addition in the technology wordbook, prevailing following the launch of AWS (Amazon Web Services) Lambada in 2014. Taking AWS, as an example, you can create a serverless monolith by using a single AWS Lambda function for the back-end. Where will you send these metrics?

Serverless 59

Serverless Lambda Development Microservices 59

CircleCI

MAY 27, 2022

The leading offerings are AWS Lambda , Azure Functions , and Google Cloud Functions , each with many integrations within the associated ecosystems. They are ideal for providing API endpoints or microservices. Deploying a serverless application with AWS. What are containers?

Serverless 52

Serverless Applications Technical Review Microservices 52

Altexsoft

NOVEMBER 12, 2020

Metrics are crucial. Corresponds to “the more automation the better”, “metrics are crucial”. Corresponds to “metrics are crucial”. To measure the availability and thus ensure that everything goes right, SRE offers to use three metrics. The more automation the better. Minimize toil. Examples of toil are. Set error budget.

DevOps 96

DevOps Engineering Software Review Weak Development Team 96

Datavail

JUNE 9, 2020

By moving to the cloud, organizations of all sizes and industries have cut costs, improved their flexibility and scalability, ensured business continuity, and reduced their maintenance obligations. Microservices. The cloud is perhaps the biggest revolution in enterprise IT of the 21st century. Conclusion.

Innovation 59

Innovation Microservices Azure Big Data 59

Kentik

MARCH 6, 2019

As the complexity of microservice applications continues to grow, it’s becoming extremely difficult to track and manage interactions between services. Cni-ipvlan-vpc-k8s - enables Kubernetes deployment at scale within AWS. It is a network solution for Kubernetes and is described as simple, scalable and secure. Envoy) alongside.

Network 63

Network Microservices .Net Load Balancer 63

TIBCO - Connected Intelligence

MAY 19, 2021

When applications are composed using containerized microservices or serverless functions, teams of developers can each own and evolve an individual unit of functionality at the same time. This includes tools to manage and automate application deployment, service registry and discovery, tracing and debugging, and metrics collection.

Architecture 26

Architecture Applications Cloud Microservices 26

Altexsoft

DECEMBER 28, 2018

Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. But, generally the unambiguous benefits of serverless architecture are: Lower costs and scalability. AWS Lambda. Azure Functions by Microsoft.

Serverless 68

Serverless Azure AWS Architecture 68

Netflix Tech

FEBRUARY 18, 2022

To this end, we developed a Rapid Event Notification System (RENO) to support use cases that require server initiated communication with devices in a scalable and extensible manner. Event Priority Based Clusters AWS Instance Clusters that subscribe to the corresponding queues with the same priority.

Systems Review 133

Systems Review System Architecture Metrics 133

ParkMyCloud

AUGUST 29, 2019

It’s time to plan your 2019 AWS re:Invent schedule! This will be our team’s fifth trek to the AWS conference in Las Vegas, so we’ve put together some tips for planning out your conference experience. The key to a great AWS re:Invent schedule is to plan in advance. Tickets have sold out in the past, so don’t wait. .

AWS 12

AWS How To Serverless Microservices 12

Netflix Tech

DECEMBER 11, 2020

For our federated architecture, we prioritized solving observability needs in a more scalable manner. debug why something isn’t working Our guiding metrics in this space are mean time to resolution (MTTR) and service level objectives and indicators (SLO/SLI). We prioritized three areas: Alerting ?—?report

Weak Development Team 99

Weak Development Team Architecture Systems Review Software Review 99

Kentik

DECEMBER 11, 2018

At the recent AWS re:Invent conference, we heard many attendees talking about cloud-native architecture and container-first approaches to application development. Development teams can iterate or scale each microservice independent of the others, speeding development. Kubernetes is by far the most popular one. CI/CD (a.k.a.

Architecture 45

Architecture Network Cloud Microservices 45

CloudGeometry

FEBRUARY 7, 2022

The AWS Well-Architected Framework is one such approach that helps adopt architectural best practices (whether or not you run on AWS) and adapt continuously. Another essential benefit of identity in a tenant context is that it aids in capturing and analyzing events from logs & metrics.

Architecture 130

Architecture Policies Resources Construction 130

Instaclustr

OCTOBER 14, 2019

Ben shared lots of revealing graphs of metrics relevant to community health, including trends in the number of issues created and resolved since 2014, code additions and subtractions, code commits, committer stats (there are more now than 2017), release activity, commits by top contributors, google search term trends, and database engines ranking.

Technical Review 36

Technical Review Technology Report Open Source 36

CircleCI

MARCH 22, 2021

This is where using the microservice approach becomes valuable: you can split your application into multiple dedicated services, which are then Dockerized and deployed into a Kubernetes cluster. When moving to more distributed architectures, such as microservices, you will end up with some caching instances regardless. Automate first.

Applications 59

Applications Load Balancer Software Review Storage 59

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

Instaclustr

OCTOBER 14, 2019

Ben shared lots of revealing graphs of metrics relevant to community health, including trends in the number of issues created and resolved since 2014, code additions and subtractions, code commits, committer stats (there are more now than 2017), release activity, commits by top contributors, google search term trends, and database engines ranking.

Technical Review 28

Technical Review Technology Report Open Source 28

LogicMonitor

NOVEMBER 16, 2018

LogicMonitor has done a great job of solving these problems for customers with our hugely scalable TSDB that stores every sample without loss for up to 2 years, our library of over 1,200 monitoring integrations with best practices alert thresholds defined, and so forth. About 90% of cloud apps share data with on-premises applications.)

Metrics 40

Metrics Systems Review Storage Data Center 40

Netflix Tech

DECEMBER 14, 2018

NMDB is built to be a highly scalable, multi-tenant, media metadata system that can serve a high volume of write/read throughput as well as support near real-time queries. under varying load conditions as well as a wide variety of access patterns; (b) scalability?—?persisting This is described more in-depth later in this article.

Media 94

Media Systems Review Storage Performance 94

RapidValue

FEBRUARY 8, 2021

As with most events of 2020, the highly anticipated AWS re:Invent 2020 was virtual for the first time ever. Spanning for a period of three weeks, the free event gave a glimpse into the new announcements, features, and improvements by AWS. AWS Proton. As of now, AWS Proton is available in preview in US East (N.

AWS 52

AWS Serverless Open Source Machine Learning 52

Daniel Bryant

DECEMBER 3, 2019

With the exception of AWS and it’s Outposts offering (although this is all subject to change at the AWS re:invent conference this week), both Google, with Anthos, and Azure, with Arc, appear to be betting on Kubernetes becoming the de facto multi-cloud deployment substrate. Microsoft also announced the 1.0

Technical Review 10

Technical Review Microservices Software Review Cloud 10

LeanEssays

JULY 14, 2019

Customer-focused metrics were used to guide a team’s performance, and teams were expected to work both autonomously and asynchronously to improve customer outcomes. Once Amazon figured out how to make this all work (which took years), it leveraged the knowledge by selling its internal services under the brand AWS (Amazon Web Services).

Software Review 91

Software Review Software Engineering Continuous Delivery Technical Review 91

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Python used to power client-side code, certain microservices, migration scripts, internal scripts. AWS for builds. ReactJS/Backbone/Marionette/JQuery/npm/Nightwatch. Eclipse/Idea.

Architecture 21

Architecture Data Center Software Review Storage 21